Triple

T22944702
Position Surface form Disambiguated ID Type / Status
Subject Carlos García E569832 entity
Predicate hasGivenName P17 FINISHED
Object Carlos NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Carlos | Statement: [Carlos García, hasGivenName, Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos
Context triple: [Carlos García, hasGivenName, Carlos]
  • A. Carlos chosen
    Carlos is a common Spanish given name widely used across Spanish-speaking countries and communities.
  • B. Carlos
    Carlos is a biographical political thriller miniseries about the life of Venezuelan revolutionary and terrorist Ilich Ramírez Sánchez, known as "Carlos the Jackal."
  • C. Carlos V
    Carlos V is the dynastic title claimed by Infante Carlos, Count of Molina, as the Carlist pretender to the Spanish throne in the 19th century.
  • D. Karlos Vianako Printzea
    Karlos Vianako Printzea is the Basque name for Charles, Prince of Viana, a 15th-century Navarrese royal heir known for his political struggles and cultural patronage.
  • E. Manuel
    Manuel is the given first name of actor Manny Jacinto, known for his role as Jason Mendoza on the television series "The Good Place."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819c696c8190977bd2bca01509bc completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:45 p.m.